Future autonomous vehicle systems will be diverse in design and functionality because they will be produced by different brands. It is possible these brand differences yield different levels of trust in the automation, therefore different expectations for vehicle performance. Perceptions of system safety, trustworthiness, and performance are important because they help users determine how reliant they can be on the system. Based on a review of the literature, the system’s perceived intent, competence, method, and history could be differentiating factors. Importantly, these perceptions are based on both the automated technology and the brand’s personality. The following theoretical framework reflects a Human Systems Engineering approach to consider how brand differences impact perceived trustworthiness, performance expectations and ultimate safety of autonomous vehicles.
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References
1.
AakerD. A. (1991). Managing brand equity: capitalizing on the value of a brand name. New York: The Free Press.
2.
AakerJ. L. (1997). Dimensions of Brand Personality. Journal of Marketing Research, 34(2), 347–356.
3.
BennettP. D. (1995). Dictionary of Marketing Terms. Chicago: American Marketing Association.
BranaghanR. J.HildebrandE. A. (2011). Brand personality, self-congruity, and preference: A knowledge structures approach. Journal of Consumer Behaviour, 10(5), 304–312.
6.
CarlsonM. S.DesaiM.DruryJ. L.KwakH.YancoH. a. (2013). Identifying Factors that Influence Trust in Automated Cars and Medical Diagnosis Systems. The Intersection of Robust Intelligence and Trust in Autonomous Systems: Papers from the AAAI Spring Symposium, (Lin 2008), 20–27.
7.
ChoiJ. K.JiY. G. (2015). Investigating the Importance of Trust on Adopting an Autonomous Vehicle. International Journal of Human-Computer Interaction, 31(10), 692–702.
8.
DeightonJohn (1992). The Consumption of Performance. Journal of Consumer Research, 19(3), 362-372.
9.
Delgado-BallesterE. (2003). Development and validation of a brand trust scale. International Journal of Market Research, 45(1), 35–54.
10.
DesaiM.MedvedevM.VázquezM.McsheehyS.Gadea-OmelchenkoS.BruggemanC.YancoH. (2012). Effects of changing reliability on trust of robot systems. Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction - HRI 12.
11.
EkmanF.JohanssonM.SochorJ. (2018). Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design. IEEE Transactions on Human-Machine Systems, 48(1), 95-101.
12.
FiskeS. T.CuddyA. J. C.GlickP. (2007). Universal dimensions of social cognition: warmth and competence. Trends in Cognitive Sciences, 11(2), 77–83.
13.
FrelingT.H.ForbesL. P. (2005). An examination of brand personality through methodological triangulation. Journal of Brand Management13(2), 148–162.
14.
HoffK. A.BashirM. (2014). Trust in Automation: Integrating empirical evidence on factors that influence trust. Human Factors, 57(3), 407-434.
15.
KellerK. L. (1993). Conceptualizing, Measuring, and Managing Customer-Based Brand Equity. Journal of Marketing, 57(1), 1-22.
16.
KimK. H.KimK. S.KimD. Y.KimJ. H.KangS. H. (2008). Brand equity in hospital marketing. Journal of Business Research, 61(1), 75–82.
17.
KotlerP.AndreasenA. R. (1991). Strategic marketing for nonprofit organizations. Englewood Cliffs N.J: Prentice-Hall.
18.
LeeJ .D.MorayN. (1992) Trust, control strategies and allocation of function in human-machine systems. Ergonomics, 35, 1243-70.
19.
LeeJ. D.SeeK. a. (2004). Trust in automation: designing for appropriate reliance. Human Factors, 46(1), 50–80.
20.
MayerR.DavisJ.SchoormanF. (1995). An integration model of organizational trust. Academy of Management Review, 20(3), 709–734.
21.
MerrittS.IlgenD. (2008). Not All Trust Is Created Equal: Dispositional and History-Based Trust in Human Automation Interactions. Human Factors: The Journal of the Human Factors and Ergonomics Society, 50(2), 194–210.
22.
MosierKSkitkalHeersSB. M. (1998). Automaton Bias: Decision Making and Performance in High-Tech Cockpits. The International Journal of Aviation Psychology, 8(1): 33–45.
23.
ParasuramanR.RileyV. (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors: The Journal of the Human Factors and Ergonomics Society, 39(2), 230-253.
24.
PeterJ. P.RyanM. J. (1976). An investigation of perceived risk at the brand level. Journal of Marketing Research, 13(2), 184.
25.
RempelJ.K.HolmesJ.G.ZannaM.P. (1985). Trust in close relationships. Journal of Personality and Social Psychology, 49, 95-112.
26.
RotterJ. B. (1980). Interpersonal trust, trustworthiness, and gullibility. American Psychologist, 35(1), 1-7.
27.
SchaeferK. E.ChenJ. Y. C.SzalmaJ. L.HancockP. A. (2016). A meta-analysis of factors influencing the development of trust in automation: Implications for understanding autonomy in future systems. Human Factors: The Journal of the Human Factors and Ergonomics Society, 58(3), 377–400.
28.
SheridanT. B. (1992). Introduction. In Telerobotics, Automation, and Human Supervisory Control (pp. 1-3). Cambridge (Mass.): MIT Press.
ThomsonM.MacInnisD. J.Whan ParkC. (2005). The Ties That Bind: Measuring the Strength of Consumers’ Emotional Attachments to Brands. Journal of Consumer Psychology, 15(1), 77–91.
31.
United States, National Highway Traffic Safety Administration, U.S. Department of Transportation. (2017). Automated driving systems 2.0: a vision for safety.
32.
Van GeenhuizenM.NijkampP. (2003). Coping with Uncertainty in the field of new transport technology. Transportation Planning and Technology. 26(6), 449-467.
33.
ZeithamlV. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2-22.
